Drones are proliferating throughout the world’s airspace, making them impossible to ignore. As their numbers rise, the importance of finding a way for them to safely coexist with manned aircraft is growing increasingly urgent. To ensure the current high level of flight safety and security, the aviation stakeholders are taking steps to implement a Flight Information Management System (FIMS) to integrate the management of drones or referred as UTM (Unmanned Traffic Management) with ATM (Air Traffic Management).
MosaiX SWIM is a digital data exchange platform, which support data validation, data mediation between legacy and SWIM data models (AIXM, FIXM, IWXXM), data fusion between the different information domains (i.e. flight plans and surveillance data), and up to date display of all information (airspace, flight plans weather, surveillance). It brings together all the stakeholders in the ecosystem with a focus on data accuracy, integrity, consistency, and timeliness, all while remaining a future-proof and open platform with a very low vendor lock-in.
Drone Detection, Incident Handling and Counter UAV
The rapidly growing number of Unmanned Aerial Vehicles (UAVs) creates new challenges for the safety of air traffic. Uncooperative UAVs (i.e. rogue drones) cause major disruption at airports and airbases, they are used to smuggle goods across borders or to spy on governmental authorities. They can pose a threat to critical infrastructure, events, and sovereignty of countries. Recent incidents have spotlighted the urgent need for a comprehensive solution to deal with this threat.
The Frequentis drone detection / counter UAV solution creates an effective response to the threat and differentiates to other solutions in the market by providing full situational awareness, minimising resolution time, and enabling cross-agency collaboration. The solution is based on MosaiX SWIM digital data platform and Frequentis` incident and crisis management system (ICM).
MosaiX SWIM improves interoperability with existing infrastructures and allows to create a comprehensive situational picture by fusing all available data feeds in one digital data platform: cooperative drones, uncooperative drones (including visual observations), air traffic, and blue forces. The cross-agency incident management system (ICM) improves collaboration by sharing the situational picture with all stakeholders together with managing communications and incidents across hierarchies, operators, and locations.
The solution is an open framework which supports, integrates, and scales with sensor and effector systems available on the market.
For further information, please also have a look at our Solution Brief:
Drone Detection / Counter UAV information stream design
Frequentis has developed an understanding of KPIs, responsibilities and procedures for drone detection and intervention at airports through "information stream design". The "information stream" summarises actors, systems and resources and visualizes individual process steps and the cooperation between actors and systems.
The information stream map in our white paper shows a worst-case scenario, collecting processes and scenarios for drone detection at airports. Frequentis consultants will adopt and customise this scenario to concrete needs and requirements of airports, including local risk scenarios, available resources, responsibilities, actors, systems, etc.
The methodology developed by Frequentis is based on value stream design. It ensures a user- and business process-centric design. Frequentis' control room consulting department has successfully used this methodology with numerous customers to clarify operational needs and to derive technical requirements for systems and control rooms.
For further information, please also have a look at our White paper: Frequentis counter UAV